The RNA expression signature of the HepG2 cell line as determined by the integrated analysis of miRNA and mRNA expression profiles

Understanding miRNAs' regulatory networks and target genes could facilitate the development of therapies for human diseases such as cancer. Although much useful gene expression profiling data for tumor cell lines is available, microarray data for miRNAs and mRNAs in the human HepG2 cell line have only been compared with that of other cell lines separately. The relationship between miRNAs and mRNAs in integrated expression profiles for HepG2 cells is still unknown. To explore the miRNA–mRNA correlations in hepatocellular carcinoma (HCC) cells, we performed miRNA and mRNA expression profiling in HepG2 cells and normal liver HL-7702 cells at the genome scale using next-generation sequencing technology. We identified 193 miRNAs that are differentially expressed in these two cell lines. Of these, 89 miRNAs were down-regulated in HepG2 cells compared with HL-7702 cells, while 104 miRNAs were up-regulated. We also observed 3035 mRNAs that are significantly dys-regulated in HepG2 cells. We then performed an integrated analysis of the expression data for differentially expressed miRNAs and mRNAs and found several miRNA–mRNA pairs that are significantly correlated in HepG2 cells. Further analysis suggested that these differentially expressed genes were enriched in four tumorigenesis-related signaling pathways, namely, ErbB, JAK–STAT, mTOR, and WNT, which until now had not been fully reported. Our results could be helpful in understanding the mechanisms of HCC occurrence and development.     

microRNAs与TP53基因调控网络研究进展

TP53基因(编码p53蛋白)作为一个重要的抑瘤基因,通过调控一系列信号转导通路广泛参与了多种恶性肿瘤的发生发展,一直是肿瘤分子生物学研究领域的热点.最近的研究发现,microRNAs(miRNAs)参与了TP53的信号通路,它们之间存在着复杂的调控网络.一方面,p53通过调控一些miRNAs的转录及转录后成熟,促进细胞周期阻滞、诱导细胞凋亡和衰老,抑制肿瘤发生.另一方面,许多miRNAs,如miR-25、miR-30d、miR-125b和miR-504等可直接调控p53的表达与活性,参与TP53信号通路的调节,还有一些miRNAs则通过调节p53上下游基因,发挥重要的生物学功能.其中,最具有代表性的是miR-34家族,它们受p53直接调控并参与TP53信号通路,通过靶向抑制多个TP53信号通路关键分子的表达,发挥抑瘤作用.此外,它们还可以通过抑制沉默信息调节子,增强p53的活性,反馈调节TP53信号通路.miRNAs与TP53之间调控网络的研究,是对TP53抑瘤机制的重要补充.     

Upregulated miR-182 increases drug resistance in cisplatin-treated HCC cell by regulating TP53INP1

Chemotherapy plays a crucial role in hepatocellular carcinoma (HCC) treatment especially for patients with advanced HCC. Cisplatin is one of the commonly used chemotherapeutic drugs for the treatment of HCC. However, acquisition of cisplatin resistance is common in patients with HCC, and the underlying mechanism of such resistance is not fully understood. In the study, we focused on identifying the role of miRNAs in chemotherapy resistance after cisplatin-based combination chemotherapy. We assayed the expression level of miR-182 after cisplatin-based chemotherapy in patients with advanced HCC, and defined the biological functions by real-time PCR analysis and CCK-8 assay. We found that miR-182 levels were significantly increased in HCC patients treated with cisplatin-based chemotherapy. miR-182 levels were also higher in cisplatin-resistant HepG2 (HepG2-R) cells than in HepG2 cells. Upregulated miR-182 significantly increased the cell viability, whereas miR-182 knockdown reduced the cell viability during cisplatin treatment. miR-182 inhibition also partially overcame cisplatin resistance in HepG2-R cell. Furthermore, we found that upregulated miR-182 inhibited the expression of tumor suppressor gene TP53INP1 (tumor protein 53-induced nuclear protein1) in vitro. In vivo, miR-182 and TP53INP1 expression was negatively correlated. We finally demonstrated that miR-182 increased cisplatin resistance of HCC cell, partly by targeting TP53INP1. These data suggest that miR-182/TP53INP1 signaling represents a novel pathway regulating chemoresistance, thus offering a new target for chemotherapy of HCC.     

p53直接调控microRNA及其靶基因的高通量筛选

通过对676条人microRNA进行筛选,共得到了53条新的具有p53-DNA结合位点且调控p53上游转录因子和下游靶基因的microRNA．结合已有蛋白质互作关系与microRNA调控信息,构建了p53-microRNA相互作用网络图,其中FAS受多条microRNA调控,FAS是介导细胞凋亡的关键因子,因此,FAS-microRNA的相互作用可能在细胞凋亡途径中起着关键的作用．随后,提出了microRNA参与p53调控的假设机制,认为p53调控靶基因与microRNA的同时也受上游转录因子与microRNA的调控,从而形成了以p53为中心的一种平衡,当这种调控平衡一旦被打破则会引起信号通路的紊乱,从而可能引发相应的疾病．对这53条microRNA进行靶基因预测,共得到15 500个靶基因,对这些基因的出现频率进行聚类分析共得到27个簇,将出现频率大于10的基因进行功能注释分析,发现多数基因功能属于近来发现的p53靶基因新的功能分类——细胞粘连和细胞运动,目前研究认为,p53通过与这些具有细胞粘连和运动功能的靶基因结合来抑制肿瘤的迁移．通过对15 500个基因进行功能注释分析,得到了30条感兴趣的参与细胞周期调控、细胞凋亡和细胞增殖的microRNA,其中有9条microRNA于3种生物学进程均有参与,这9条microRNA分别是: hsa-mir-181a-1、hsa-mir-181b-1、hsa-mir-181c、hsa-mir-181d、hsa-mir-195、hsa-mir-497、hsa-mir-495、hsa-mir-543和hsa-mir-548c．这暗示着这9条microRNA在p53信号通路的调节中可能起着关键的作用,它们互相作用共同调节着多个p53信号环路．最后在36个物种的基因组中对这30条microRNA进行了同源性搜索与保守性分析,结果发现有10条高度保守的且为目前数据库所未收录的microRNA．这10条microRNA分别是：hsa-mir-497、hsa-mir-495、hsa-mir-543、hsa-mir-19a、hsa-mir-19b-1、hsa-mir-200b、hsa-mir-448、 hsa-mir-28、hsa-mir-455和hsa-mir-590．     

Investigation of key microRNAs associated with hepatocellular carcinoma using small RNA-seq data

To identify key microRNAs (miRNAs) associated with hepatocellular carcinoma (HCC) using small RNA-seq data. Small RNA-seq data for two HCC samples and two normal samples were downloaded from NCBI Gene Expression Omnibus. MiRNAs were identified through database search. Differentially expressed miRNAs were screened out with t test and their target genes were retrieved. Functional enrichment analysis was performed to uncover their biological functions. Regulatory networks and core metabolic networks were also constructed to present the global patterns. In addition, new miRNAs and their target genes were predicted. A total of 59 differentially expressed miRNAs were obtained, 12 up-regulated and 47 down-regulated. A total of 3,306 target genes were retrieved for eight miRNAs. Pathway enrichment analysis for the target genes showed that “pathways in cancer” and “MAPK signaling pathway” were significantly over-represented. Functional enrichment analysis found that “biological regulation” and “macromolecule modification” were significantly related to the target genes. Two regulatory networks were constructed for up- and down-regulated differentially expressed miRNAs with information from Ingenuity Pathway Analysis database. Two metabolic networks were also established based upon “pathways in cancer” and “MAPK signaling pathway”, consisting of miRNAs, target genes, compounds and others genes. Moreover, a number of new miRNAs and relevant target genes were predicted. Our study discloses a number of miRNAs as well as genes which may be involved in the development of HCC and these findings are beneficial in guiding future researches.     

The impact of miR‐34a on protein output in hepatocellular carcinoma HepG2 cells

MicroRNAs are small non‐coding RNA molecules that play essential roles in biological processes ranging from cell cycle to cell migration and invasion. Accumulating evidence suggests that miR‐34a, as a key mediator of p53 tumor suppression, is aberrantly expressed in human cancers. In the present study, we aimed to explore the precise biological role of miR‐34a and the global protein changes in HCC cell line HepG2 cells transiently transfected with miR‐34a. Transfection of miR‐34a into HepG2 cells caused suppression of cell proliferation, inhibition of cell migration and invasion. It also induced an accumulation of HepG2 cells in G1 phase. Among 116 protein spots with differential expression separated by 2‐DE method, 34 proteins were successfully identified by MALDI‐TOF/TOF analysis. Of these, 15 downregulated proteins may be downstream targets of miR‐34a. Bioinformatics analysis produced a protein–protein interaction network, which revealed that the p53 signaling pathway and cell cycle pathway were two major hubs containing most of the proteins regulated by miR‐34a. Cytoskeletal proteins such as LMNA, GFAP, MACF1, ALDH2, and LOC100129335 are potential targets of miR‐34a. In conclusion, abrogation of miR‐34a function could cause downstream molecules to switch on or off, leading to HCC development.